Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
- caffe
- mtcnn
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Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
Sequential regulatory activity predictions with deep convolutional neural networks.
Neural networks toolbox focused on medical image analysis
Search and filter videos based on objects that appear in them using convolutional neural networks
Source code for "DeepDTA: deep drug-target binding affinity prediction"
RNA-seq prediction with deep convolutional neural networks.
Deep and Machine Learning for Microscopy
Shallow and Deep Convolutional Networks for Saliency Prediction
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
Graph to sequence implemented in Pytorch combining Graph convolutional networks and opennmt-py
Axon/Myelin segmentation using Deep Learning
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
Re-implement CycleGAN in Tensorlayer
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
Simple convolutional highway networks using TensorFlow.
MCP server for spatial transcriptomics analysis through natural language interfaces.
This is implementation of AlexNet(2012) with 3D Convolution on TensorFlow (AlexNet 3D).
HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.
Fast, deterministic cell-type deconvolution for million-bin spatial transcriptomics